abhishekrs4 commited on
Commit
c95f8ee
1 Parent(s): 5c063a6

code formatting

Browse files
Files changed (1) hide show
  1. frontend.py +13 -3
frontend.py CHANGED
@@ -8,6 +8,7 @@ import streamlit as st
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  from PIL import Image
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  from skimage.io import imread
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  def infer() -> None:
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  st.title("IAM Handwriting recognition app")
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@@ -41,30 +42,39 @@ def infer() -> None:
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  st.write(response.json())
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  return
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  def app_info() -> None:
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  st.title("App info")
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  st.markdown("_Task - IAM Handwriting recognition_")
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- st.markdown("_Project repo - [https://github.com/AbhishekRS4/Handwriting_Recognition](https://github.com/AbhishekRS4/Handwriting_Recognition)_")
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- st.markdown("_Dataset - [IAM dataset](https://fki.tic.heia-fr.ch/databases/iam-handwriting-database)_")
 
 
 
 
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  st.header("Brief description of the project")
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  st.write("The IAM dataset contains images of handwritten text in English language.")
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  st.write("A custom architecture is modeled for the recognition task.")
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  st.write("The best performing model has been used for the deployed application.")
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  return
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  app_modes = {
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- "App Info" : app_info,
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  "IAM Handwriting Recognition Inference App": infer,
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  }
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  def start_app() -> None:
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  selected_mode = st.sidebar.selectbox("Select mode", list(app_modes.keys()))
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  app_modes[selected_mode]()
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  return
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  def main() -> None:
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  start_app()
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  return
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  if __name__ == "__main__":
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  main()
 
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  from PIL import Image
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  from skimage.io import imread
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+
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  def infer() -> None:
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  st.title("IAM Handwriting recognition app")
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  st.write(response.json())
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  return
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+
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  def app_info() -> None:
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  st.title("App info")
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  st.markdown("_Task - IAM Handwriting recognition_")
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+ st.markdown(
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+ "_Project repo - [https://github.com/AbhishekRS4/Handwriting_Recognition](https://github.com/AbhishekRS4/Handwriting_Recognition)_"
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+ )
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+ st.markdown(
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+ "_Dataset - [IAM dataset](https://fki.tic.heia-fr.ch/databases/iam-handwriting-database)_"
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+ )
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  st.header("Brief description of the project")
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  st.write("The IAM dataset contains images of handwritten text in English language.")
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  st.write("A custom architecture is modeled for the recognition task.")
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  st.write("The best performing model has been used for the deployed application.")
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  return
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+
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  app_modes = {
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+ "App Info": app_info,
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  "IAM Handwriting Recognition Inference App": infer,
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  }
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+
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  def start_app() -> None:
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  selected_mode = st.sidebar.selectbox("Select mode", list(app_modes.keys()))
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  app_modes[selected_mode]()
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  return
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+
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  def main() -> None:
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  start_app()
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  return
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+
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  if __name__ == "__main__":
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  main()